Average Ratings 0 Ratings
Average Ratings 56 Ratings
Description
Thomson Reuters CLEAR® harnesses an extensive array of data points and utilizes advanced public records technology to unify essential content within a customizable dashboard. It enables users to uncover elusive information and swiftly pinpoint potential issues related to individuals and companies, helping to assess whether additional investigation is warranted. Designed for ease of use, the platform features intuitive navigation and straightforward filtering options, allowing for rapid searches across numerous data sets with precise results in a fraction of the time. Its user-friendly interface promotes seamless exploration, enabling simultaneous searches across various databases, which include public, proprietary, and web sources. The comprehensive "Search All" function aggregates all databases into one convenient search. Users can refine their results by excluding irrelevant data according to parameters such as date, age, and customizable “and/or” filters. Furthermore, the entity resolution feature streamlines search outcomes by merging results and removing duplicates, ensuring the data aligns closely with the user's specified search criteria, thus enhancing the overall efficiency and effectiveness of the information retrieval process. This makes it an invaluable tool for professionals seeking to make informed decisions based on reliable data.
Description
Don't let fraud erode your bottom line, damage your reputation, or stall your growth. FraudNet's AI-driven platform empowers enterprises to stay ahead of threats, streamline compliance, and manage risk at scale—all in real-time. While fraudsters evolve tactics, our platform detects tomorrow's threats, delivering risk assessments through insights from billions of analyzed transactions.
Imagine transforming your fraud prevention with a single, robust platform: comprehensive screening for smoother onboarding and reduced risk exposure, continuous monitoring to proactively identify and block new threats, and precision fraud detection across channels and payment types with real-time, AI-powered risk scoring. Our proprietary machine learning models continuously learn and improve, identifying patterns invisible to traditional systems. Paired with our Data Hub of dozens of third-party data integrations, you'll gain unprecedented fraud and risk protection while slashing false positives and eliminating operational inefficiencies.
The impact is undeniable. Leading payment companies, financial institutions, innovative fintechs, and commerce brands trust our AI-powered solutions worldwide, and they're seeing dramatic results: 80% reduction in fraud losses and 97% fewer false positives. With our flexible no-code/low-code architecture, you can scale effortlessly as you grow.
Why settle for outdated fraud and risk management systems when you could be building resilience for future opportunities? See the Fraud.Net difference for yourself. Request your personalized demo today and discover how we can help you strengthen your business against threats while empowering growth.
API Access
Has API
API Access
Has API
Integrations
Amazon QuickSight
BCT
Cloudsquare Lend
Ekata
Emailage
Epona365
Grabyo
Signifyd
TeleSign
TypingDNA
Integrations
Amazon QuickSight
BCT
Cloudsquare Lend
Ekata
Emailage
Epona365
Grabyo
Signifyd
TeleSign
TypingDNA
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Thomson Reuters
Founded
2008
Country
Canada
Website
www.thomsonreuters.com/content/dam/openweb/documents/pdf/legal/fact-sheet/clear-brochure.pdf
Vendor Details
Company Name
Fraud.net, Inc.
Founded
2016
Country
United States
Website
www.fraud.net
Product Features
Fraud Detection
Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval
Legal Research
AI / Machine Learning
Annotations
Brief Analytics
Case Alerts
Case Law Research
Change Tracking
Data Visualization
Filtering
Query Suggestions
Search History
Self-Service Search
Statutes Research
Tax Law Research
Third-Party Analysis Integration
Product Features
Click Fraud
Account Alerts
Activity Monitoring
IP Address Monitoring
IP Blocking
Keyword Tracking
Refund Management
Risk Assessment
Time on Site Tracking
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery
Decision Support
Application Development
Budgeting & Forecasting
Data Analysis
Decision Tree Analysis
Monte Carlo Simulation
Performance Metrics
Rules-Based Workflow
Sensitivity Analysis
Thematic Mapping
Version Control
Deep Learning
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization
eCommerce
CRM
Catalog Management
Channel Management
Customer Accounts
Data Security
Email Marketing
Inventory Management
Kitting
Loyalty Program
Mobile Access
Multi-Store Management
Order Management
Product Configurator
Promotions Management
Returns Management
Reviews Management
SEO Management
Shopping Cart
Templates
Financial Risk Management
Compliance Management
Credit Risk Management
For Hedge Funds
Liquidity Analysis
Loan Portfolio Management
Market Risk Management
Operational Risk Management
Portfolio Management
Portfolio Modeling
Risk Analytics Benchmarks
Stress Tests
Value At Risk Calculation
Fraud Detection
Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Payment Processing
ACH Check Transactions
Bitcoin Compatible
Debit Card Support
Gift Card Management
Mobile Payments
Online Payments
POS Transactions
Receipt Printing
Recurring Billing
Signature Capture
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis